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Record W7033861937

Sistemas de saúde no Brasil e Canadá: uma análise comparativa das políticas públicas

2025· article· en· W7033861937 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Crisis of the 21st Century
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)Economic shortageHealthcare systemHealth careHealth servicesUniversal coverageQuality (philosophy)Universal designHealth policy
DOInot available

Abstract

fetched live from OpenAlex

The Brazilian Unified Health System (SUS) and the Canadian health system, known as Medicare, are models whose purpose is to guarantee universal access to health care, despite adopting different approaches. Established by law number 8.080/1990, the SUS operates based on the principles of universality, comprehensiveness, and equity, seeking to offer free and comprehensive services to the entire population. On the other hand, the Canadian system is structured in decentralized provincial and territorial plans, governed by the Canada Health Act (1985), which ensures universal coverage for essential medical services, financed by general taxes. This model eliminates financial barriers to care, but faces difficulties such as a shortage of professionals and long queues for non-urgent procedures. A comparison between the systems reveals striking differences, such that studies indicate that the quality of the systems is related to the capacity to provide care in an integrated and coordinated manner, showing the importance of overcoming structural barriers. The analysis of the experiences of Brazil and Canada allows us to identify practices that can improve health policies, strengthening equity and inclusion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.773
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.260
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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